Effectiveness of non-invasive vagal nerve stimulation in Parkinson's disease: A comprehensive systematic review and meta-analysis.

Background: Parkinson's disease (PD) is a debilitating neurodegenerative disorder characterized by movement impairments. Vagus nerve stimulation (VNS) is a non-invasive brain stimulation technique that has shown promise in treating various neurological conditions, including PD. This systematic review aimed to evaluate the existing evidence on the efficacy of nVNS in managing PD symptoms.

History of head trauma and the risk of multiple sclerosis: A systematic review and meta-analysis.

Background: Multiple sclerosis (MS) is a chronic disease of the central nervous system with unclear etiology involving genetic, environmental, and immunological factors. The potential link between head trauma and MS is controversial, with conflicting evidence. This systematic review and meta-analysis aim to assess the risk of developing MS following head trauma.

Effects of Non-invasive Vagus Nerve Stimulation on Inflammatory Markers in COVID-19 Patients: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

The international healthcare community has encountered several difficulties because of the COVID-19 pandemic brought on by SARS-CoV-2. COVID-19 can lead to an abnormal immune response that features excessive inflammation, so targeting the vagus nerve through non-invasive vagus nerve stimulation (nVNS) may hold promise as an intervention. This meta-analysis aimed to examine the outcomes of using nVNS on different inflammatory biomarkers in COVID-19 patients.

The Prevalence of Musculoskeletal Pain and Assessment of Potential Risk Factors Among a Sample of Medical Students in Giza, Egypt.

Introduction: Musculoskeletal pain (MSP) is one of the most prevalent conditions among global medical students, affecting their daily lifestyle. In this study, we seek to determine the prevalence of MSP and its associated risk factors in a sample of medical students at Misr University for Science and Technology, Egypt.

Methods: A cross-sectional study was conducted between December 2023 and February 2024, with a sample size of 1472 students who filled out a modified version of the Standardized Nordic Questionnaire.

Efficacy of cognitive behavioral therapy for anxiety and depression in Parkinson's disease patients: an updated systematic review and meta-analysis.

Background: Parkinson's disease (PD) patients often experience non-motor symptoms like depression and anxiety, significantly impacting their quality of life. With the limited effectiveness of pharmacological treatments, effective non-pharmacological interventions are needed. This systematic review and meta-analysis aimed to evaluate the efficacy of cognitive-behavioral therapy (CBT) in reducing depression and anxiety symptoms in PD patients.

Phosphodiesterase-5 inhibitors use and the risk of alzheimer's disease: a systematic review and meta-analysis.

Background: The management of Alzheimer's disease (AD) poses considerable challenges, necessitating the pursuit of innovative therapeutic approaches. Recent research has spotlighted the promising role of phosphodiesterase type 5 inhibitors (PDE5Is) in reducing the prevalence of AD, utilizing their vasodilatory properties to suggest a potential neuroprotective effect. This meta-analysis and systematic review aims to assess the relationship between the use of PDE5Is and the risk of AD.

Adverse childhood experiences and risk of late-life dementia: a systematic review and meta-analysis.

Background: Adverse childhood experiences (ACEs) refer to distressing events before age 18 that can lead to potential mental and physical health consequences. This systematic review and meta-analysis aimed to examine the association between ACEs and the risk of dementia in elderly adults who experienced ACEs during childhood, addressing the existing inconsistencies and methodological variations.

Methods: A comprehensive search strategy was employed across key databases (PubMed, Web of Science, Scopus, and Embase) to identify relevant articles.